Data Science and Engineering

Scope & Guideline

Pioneering insights in artificial intelligence and beyond.

Introduction

Delve into the academic richness of Data Science and Engineering with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN2364-1185
PublisherSPRINGERNATURE
Support Open AccessYes
CountryGermany
TypeJournal
Convergefrom 2016 to 2024
AbbreviationDATA SCI ENG / Data Sci. Eng.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

Aims and Scopes

The journal 'Data Science and Engineering' primarily focuses on the intersection of data science and engineering practices, exploring innovative methodologies and applications that leverage data for solving complex real-world problems. Its core areas encompass a variety of topics, with a consistent emphasis on advanced computational techniques, data-driven decision-making, and the integration of emerging technologies.
  1. Data Mining and Analysis:
    The journal emphasizes research in data mining techniques, including efficient algorithms for extracting insights from large datasets, anomaly detection, and classification methods.
  2. Graph and Network Analysis:
    A significant focus is on the application of graph theory and network analysis to various domains, including social networks, recommendation systems, and complex systems modeling.
  3. Machine Learning and Artificial Intelligence:
    The journal publishes works that advance machine learning methodologies, including deep learning, reinforcement learning, and their applications in diverse fields such as healthcare, transportation, and finance.
  4. Blockchain and Federated Learning:
    Research exploring the integration of blockchain technology with machine learning frameworks, particularly federated learning, is a key area of interest, emphasizing privacy-preserving data processing.
  5. Spatial-Temporal Data Processing:
    The journal covers methodologies for analyzing spatial-temporal data, crucial for applications in urban planning, traffic forecasting, and environmental monitoring.
  6. Recommendation Systems:
    A core area involves developing novel recommendation algorithms that utilize user behavior and preferences, often leveraging advanced techniques such as graph neural networks and contrastive learning.
Recent publications in 'Data Science and Engineering' reveal several emerging themes that are gaining traction, indicative of the journal's responsiveness to the latest technological advancements and societal needs.
  1. Federated Learning and Privacy-Preserving Techniques:
    There is a notable increase in research focused on federated learning and privacy-preserving methods, reflecting growing concerns over data privacy and the need for secure distributed learning frameworks.
  2. Graph Neural Networks and Their Applications:
    The rise of graph neural networks in various applications, including social recommendation and anomaly detection, highlights an emerging trend that emphasizes the importance of relational data in modern data science.
  3. Integration of AI with IoT (AIoT):
    Papers exploring the intersection of artificial intelligence and the Internet of Things (IoT) are on the rise, particularly in applications like smart cities and infrastructure maintenance, showcasing the relevance of data science in real-time sensing and automation.
  4. Explainable AI (XAI):
    The growing emphasis on explainability in AI systems is reflected in increasing publications addressing how to make machine learning models more interpretable and accountable, which is essential for user trust and regulatory compliance.
  5. Multi-modal and Cross-domain Learning:
    Research that involves learning from multiple data modalities and across different domains is gaining prominence, indicating a trend towards more holistic approaches to data analysis and model training.

Declining or Waning

While 'Data Science and Engineering' has a robust focus on various contemporary topics, certain themes appear to be declining in prominence. This shift may reflect evolving research interests and technological advancements within the field.
  1. Traditional Statistical Methods:
    There seems to be a waning interest in conventional statistical analysis techniques, as the focus shifts towards more advanced machine learning and data mining methods.
  2. Basic Data Structures and Algorithms:
    Papers centered on fundamental data structures and algorithms are becoming less frequent, indicating a movement towards more complex applications and hybrid approaches involving multiple methodologies.
  3. Classic Database Management Systems (DBMS):
    Research that solely focuses on traditional DBMS without the integration of modern data processing techniques (like big data or NoSQL systems) appears to be declining, as the field moves towards more innovative data architectures.

Similar Journals

INFORMATION SCIENCES

Fostering Excellence in Information Sciences
Publisher: ELSEVIER SCIENCE INCISSN: 0020-0255Frequency: 36 issues/year

INFORMATION SCIENCES, published by Elsevier Science Inc, is a premier peer-reviewed journal that has become instrumental in advancing the field of information science since its inception in 1968. With an impressive array of quartile rankings in 2023, including Q1 in Artificial Intelligence, Computer Science Applications, Control and Systems Engineering, Information Systems and Management, Software, and Theoretical Computer Science, this journal serves as a vital resource for researchers and professionals looking to explore cutting-edge theories and practical applications within these domains. The journal is indexed extensively, with notable Scopus rankings, reflecting its significance and influence in the academic community—ranked 6th in Theoretical Computer Science and 10th in Information Systems and Management, among others. Although it does not currently offer an open-access option, the depth of research published within INFORMATION SCIENCES ensures that it remains a key reference point for advancing academic inquiry and addressing complex challenges in the information landscape.

Frontiers of Computer Science

Fostering Dialogue that Shapes the Future of Technology
Publisher: HIGHER EDUCATION PRESSISSN: 2095-2228Frequency: 1 issue/year

Frontiers of Computer Science is a leading peer-reviewed journal dedicated to advancing the field of computer science through the publication of high-quality research articles, reviews, and theoretical discussions. Published by HIGHER EDUCATION PRESS, this journal has gained significant recognition, currently boasting a prestigious impact factor and ranking in the Q1 quartile for both Computer Science (miscellaneous) and Theoretical Computer Science categories in 2023. With a focus on the intersection of computational theory and practical applications, it serves as a vital platform for researchers, professionals, and students alike who are eager to contribute to and stay updated with groundbreaking developments. The journal’s scope encompasses a wide range of topics, reflecting the diverse nature of computer science today. Operating from Beijing, China, it emphasizes Open Access, ensuring that vital research is readily available to the global academic community. With its convergence period spanning from 2013 to 2024, Frontiers of Computer Science remains committed to fostering innovation and scholarly dialogue that drives the future of technology.

Big Data Mining and Analytics

Shaping Tomorrow's Technologies with Big Data Insights
Publisher: TSINGHUA UNIV PRESSISSN: Frequency: 4 issues/year

Big Data Mining and Analytics, published by TSINGHUA UNIVERSITY PRESS, stands at the forefront of interdisciplinary research in the fields of Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, and Information Systems. With an impressive Q1 ranking in multiple categories as of 2023, this journal serves as a critical platform for researchers and professionals eager to explore innovative techniques and methodologies related to big data analytics. Since its transition to Open Access in 2018, Big Data Mining and Analytics has aimed to increase the visibility and accessibility of its cutting-edge research, making permanent strides in the global academic landscape. Housed in Beijing, China, and actively embracing the converged years from 2018 to 2024, the journal aims to cultivate a rich discourse on emerging trends and applications, ensuring its relevance in a rapidly evolving technological environment. Join a vibrant community of scholars dedicated to advancing the frontiers of knowledge in big data.

Foundations of Data Science

Unveiling New Horizons in Computational Theory
Publisher: AMER INST MATHEMATICAL SCIENCES-AIMSISSN: Frequency: 4 issues/year

Foundations of Data Science, published by the American Institute of Mathematical Sciences (AIMS), is a pioneering journal dedicated to advancing knowledge within the ever-evolving fields of data science, mathematics, and computational theory. With an impact factor reflecting its quality and relevance, this journal has established itself as a crucial resource for researchers and professionals alike, achieving remarkable rankings in the Scopus metrics across various mathematical categories, including 35th in Analysis and 70th in Statistics and Probability. The journal, which has been continuously growing in significance since its inception in 2019, focuses on both foundational theories and applied methodologies, providing open access to cutting-edge research from 2024 onward. Its commitment to fostering interdisciplinary collaboration ensures that it remains at the forefront of the data science realm, making it an essential platform for students, scholars, and practitioners aiming to deepen their understanding and contribute to the scientific community.

COMPUTERS & ELECTRICAL ENGINEERING

Elevating Standards in Computer and Electrical Engineering Research.
Publisher: PERGAMON-ELSEVIER SCIENCE LTDISSN: 0045-7906Frequency: 8 issues/year

COMPUTERS & ELECTRICAL ENGINEERING is a premier academic journal published by PERGAMON-ELSEVIER SCIENCE LTD, based in the United Kingdom. Established in 1973, the journal has consistently contributed to the fields of Computer Science, Control and Systems Engineering, and Electrical and Electronic Engineering. With an impressive impact factor and ranked in the top quartile (Q1) across these domains, it is recognized as a pivotal resource for researchers, practitioners, and students alike. The journal aims to disseminate high-quality research articles, reviews, and technical notes, with the goal of advancing understanding and fostering innovation within and beyond its scope. Researchers can enjoy unparalleled access to cutting-edge findings and technological advancements through contributions that span both theoretical frameworks and practical applications, making it an essential platform for anyone dedicated to exploring the intersections of these dynamic fields.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Exploring the Intersection of Design and Computation
Publisher: WILEYISSN: 1093-9687Frequency: 15 issues/year

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, published by WILEY, stands as a leading journal in the domains of civil and structural engineering, computational theory, and computer-aided design since its inception in 1986. With an impressive ISSN of 1093-9687 and E-ISSN of 1467-8667, this esteemed UK-based journal holds a prestigious position in the academic community, reflected by its Q1 ranking in numerous relevant categories, including Civil and Structural Engineering and Computer Graphics as of 2023. The journal is renowned for promoting innovative research that utilizes computational techniques to solve complex engineering problems, making it an essential resource for researchers, professionals, and students alike. Despite its lack of open access options, the journal garners significant interest due to its rigorous peer-review process and high-impact articles, underlining its importance in the advancement of infrastructure engineering practices and technologies. With a Scopus ranking placing it among the top journals in various engineering and computer science fields, COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING continues to foster knowledge and collaboration, ultimately contributing to the future of smart and resilient infrastructure development.

ADVANCED ENGINEERING INFORMATICS

Shaping Tomorrow's Technologies Today
Publisher: ELSEVIER SCI LTDISSN: 1474-0346Frequency: 4 issues/year

ADVANCED ENGINEERING INFORMATICS is a prestigious journal published by Elsevier Science Ltd, dedicated to the interdisciplinary fields of Artificial Intelligence and Information Systems. Established in 2002, this journal serves as a vital platform for researchers and practitioners to disseminate groundbreaking insights and innovations that shape the future of engineering and technological integration. With an impressive impact factor and ranked in the Q1 category for both Artificial Intelligence and Information Systems in 2023, it holds a prominent position, with Scopus rankings placing it in the 92nd percentile among 394 journals in Computer Science Information Systems and the 87th percentile among 350 journals in Computer Science Artificial Intelligence. ADVANCED ENGINEERING INFORMATICS embraces an Open Access model, ensuring that cutting-edge research is accessible to a global audience, fostering collaboration and development across academic and professional circles. The journal is committed to advancing knowledge and influencing practice, paving the way for the next generation of technologies that enhance engineering informatics.

International Journal of Intelligent Engineering Informatics

Navigating the Frontiers of Computer Science and AI.
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 1758-8715Frequency: 4 issues/year

International Journal of Intelligent Engineering Informatics, published by INDERSCIENCE ENTERPRISES LTD, stands at the forefront of research in the interdisciplinary domains of computer science, artificial intelligence, and human-computer interaction. With an ISSN of 1758-8715 and E-ISSN of 1758-8723, this journal serves as a vital resource for researchers and professionals seeking to explore the latest advancements in intelligent engineering and informatics techniques crucial for the evolution of modern technologies. Although currently not an open-access publication, it provides a necessary platform for disseminating high-quality research; its impact factor continues to grow, attracting a diverse readership interested in signal processing, software development, and computer vision. Covering innovative topics from 2022 to 2024, the journal is committed to fostering scholarly dialogue that paves the way for emerging trends and applications in the field, ensuring its relevance and significance in today's rapidly advancing technological landscape.

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Catalyzing Knowledge in Intelligent Information Technologies
Publisher: SPRINGERISSN: 0925-9902Frequency: 6 issues/year

The Journal of Intelligent Information Systems, published by Springer since 1992, is a premier academic journal that offers a multidisciplinary platform in the fields of Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems, and Software. With an impressive impact reflected in its 2023 Q2 category rankings across multiple domains and a commendable standing in the Scopus Rankings—ranking #84 in Computer Networks and Communications and #101 in Artificial Intelligence—the journal is recognized for its contribution to advancing knowledge and innovation. Although it is not an open-access journal, its accessibility through institutional subscriptions ensures that a wide range of researchers, professionals, and students can engage with high-quality, peer-reviewed research that addresses the latest advancements and trends in intelligent systems. For over three decades, this journal has effectively bridged gaps between academia and industry, making it a vital resource for those aiming to push boundaries in intelligent information systems.

Jordanian Journal of Computers and Information Technology

Catalyzing Academic Excellence in Computing Research
Publisher: Princess Sumaya Univ & SRSFISSN: 2413-9351Frequency: 4 issues/year

Jordanian Journal of Computers and Information Technology, published by Princess Sumaya University and SRSF, stands as a significant platform for scholarly research in the realm of computer science, particularly in topics related to emerging technologies and information systems. With its Open Access model initiated in 2015, the journal facilitates global access to high-quality research findings, embodying the principles of knowledge sharing and academic collaboration. The journal's ranking in the Q3 category of Computer Science (miscellaneous) and its placement in the 54th percentile of Scopus' General Computer Science rankings underscore its growing reputation among researchers and professionals alike. Situated in Amman, Jordan, the journal actively contributes to the regional and international discourse on computing methodologies, applications, and innovations, making it an indispensable resource for scholars seeking to advance their understanding and engage with contemporary issues in technology.